识别图形验证码 (Julia 示例)

安装所需依赖
在 Julia REPL 中使用以下命令安装所需的包：

julia

using Pkg
Pkg.add("HTTP")
Pkg.add("Images")
Pkg.add("Tesseract")
下载并保存验证码图片
使用 HTTP 下载验证码图片并保存到本地：

julia

using HTTP
using FileIO

function download_captcha(url::String, save_path::String)
response = HTTP.get(url)
open(save_path, "w") do file
write(file, response.body)
end
println("验证码图片已保存为 $save_path")
end

captcha_url = "https://captcha7.scrape.center/captcha.png"
save_path = "captcha.png"
download_captcha(captcha_url, save_path)
图像处理和 OCR 识别
使用 Images 进行图像处理，并使用 Tesseract 进行验证码识别：

julia

using Images
using Tesseract

function preprocess_image(input_path::String, output_path::String)
img = load(input_path)
gray_img = colorim(img) # 转为灰度图像
save(output_path, gray_img)
println("处理后的验证码图片已保存为 $output_path")
end

function recognize_captcha(image_path::String)
tess = Tesseract.TesseractOCR()
text = Tesseract.ocr(tess, image_path)
return text
end

processed_path = "captcha_processed.png"
preprocess_image(save_path, processed_path)
captcha_text = recognize_captcha(processed_path)
println("识别结果: $captcha_text")
自动化登录
使用 HTTP 发送登录请求，携带识别到的验证码进行自动化登录：
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julia

function login(username::String, password::String, captcha::String)
url = "https://captcha7.scrape.center/login"
data = Dict("username" => username, "password" => password, "captcha" => captcha)
response = HTTP.post(url, json=data)

if response.status == 200
    println("登录成功")
else
    println("登录失败")
end

end

login("admin", "admin", captcha_text)